Gut colonization with extended-spectrum β-lactamase-producing Enterobacteriaceae may increase disease activity in biologic-naive outpatients with ulcerative colitis: an interim analysis
Bibliographic record
Abstract
BACKGROUND: Certain Enterobacteriaceae strains have been associated with the development of ulcerative colitis (UC). Extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae are the most commonly found multi-drug-resistant (MDR) bacteria colonizing the gut in UC patients and might trigger a more severe disease activity in UC patients. OBJECTIVE: The aim of this study was to evaluate whether disease activity is higher in UC patients with gut colonization with ESBL-producing Enterobacteriaceae. MATERIALS AND METHODS: A cross-sectional, pilot study was carried out in a tertiary medical center in Latvia. Demographic data were collected; UC disease activity and extent were evaluated according to the full Mayo score, Montreal classification, and adapted Truelove and Witt's index. Rectal swabs with fecal biomaterial were collected, ESBL-producing Enterobacteriaceae were isolated, and bacterial plasmid genes responsible for ESBL production, blaCTX-M, blaTEM, and blaSHV, were detected. UC disease activity was compared in patients with and without gut colonization with ESBL-producing Enterobacteriaceae. RESULTS: A total of 65 patients with UC were included in the initial analysis. Gut colonization with ESBL-producing Enterobacteriaceae was found in seven (11%) patients - mostly Escherichia coli [5 (71%)] containing the blaCTX-M bacterial plasmid gene. Patients with gut colonization with ESBL-producing Enterobacteriaceae had more severe disease compared with patients without gut colonization according to the full Mayo score (5.86 vs. 3.40; P=0.015), Montreal classification (moderate disease vs. clinical remission; P=0.031), and adapted Truelove and Witt's index (moderate disease vs. mild disease; P=0.008). CONCLUSION: Gut colonization with ESBL-producing Enterobacteriaceae may increase UC disease activity. Further research is needed to analyze the possible confounding factors that could contribute toward this outcome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".